Cost-sensitive probabilistic predictions for support vector machines.
Sandra Benítez-PeñaRafael BlanqueroEmilio CarrizosaPepa Ramírez-CoboPublished in: CoRR (2023)
Keyphrases
- cost sensitive
- large margin classifiers
- binary classification
- support vector
- confidence weighted
- probability estimates
- multi class
- misclassification costs
- cost sensitive learning
- support vector machine
- cost sensitive classification
- class distribution
- multi class classification
- naive bayes
- active learning
- class imbalance
- bayesian networks
- boosting algorithms
- hyperplane
- cross validation
- kernel function
- online auctions
- binary classifiers
- feature selection
- uncertain data
- loss function
- error rate
- decision trees